Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News and Commentary
  • Published:

HLA and HIV: modeling adaptation to moving targets

The Pharmacogenomics Journal volume 3, pages 254–256 (2003)Cite this article

‘All models are wrong, but some models are useful’

‘All models are wrong, but some models are useful’

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Figure 1

References

  1. Trachtenberg E, Korber B, Sollars C, Kepler TB, Hraber PT, Hayes E et al. Advantage of rare HLA supertype in HIV disease progression. Nat Med 2003; 9: 928–935.

    Article  CAS  Google Scholar 

  2. Mallal S, Nolan D, Witt C, Masel G, Martin AM, Moore C et al. Association between presence of HLA-B*5701, HLA-DR7, and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir. Lancet 2002; 359: 727–732.

    Article  CAS  Google Scholar 

  3. Telenti A, Aubert V, Spertini F . Individualising HIV treatment—pharmacogenetics and immunogenetics. Lancet 2002; 359: 722–723.

    Article  Google Scholar 

  4. O'Brien SJ, Gao X, Carrington M . HLA and AIDS: a cautionary tale. Trends Mol Med 2001; 7: 379–381.

    Article  CAS  Google Scholar 

  5. Rissanen J . Modeling by shortest data description. Automatica 1978; 14: 465–471.

    Article  Google Scholar 

  6. Hansen MH, Yu B . Model selection and the principle of minimum description length. J Am Stat Assoc 2001; 96: 746–774.

    Article  Google Scholar 

  7. Valcke CP, Jenkins JS, Ward DS . Recursive identification of lung parameters. Comput Methods Programs Biomed 1989; 29: 143–149.

    Article  CAS  Google Scholar 

  8. Mannila H, Koivisto M, Perola M, Varilo T, Hennah W, Ekelund J et al. Minimum description length block finder, a method to identify haplotype blocks and to compare the strength of block boundaries. Am J Hum Genet 2003; 73: 86–94.

    Article  CAS  Google Scholar 

  9. Anderson EC, Novembre J . Finding haplotype block boundaries by using the minimum-description-length principle. Am J Hum Genet 2003; 73: 336–354.

    Article  CAS  Google Scholar 

  10. Colhoun HM, McKeigue PM, Davey SG . Problems of reporting genetic associations with complex outcomes. Lancet 2003; 361: 865–872.

    Article  Google Scholar 

  11. Ioannidis JP . Genetic associations: false or true? Trends Mol Med 2003; 9: 135–138.

    Article  Google Scholar 

  12. Geskus RB, Miedema FA, Goudsmit J, Reiss P, Schuitemaker H, Coutinho RA . Prediction of residual time to AIDS and death based on markers and cofactors. J Acquir Immune Defic Syndr 2003; 32: 514–521.

    Article  CAS  Google Scholar 

  13. Moore CB, John M, James IR, Christiansen FT, Witt CS, Mallal SA . Evidence of HIV-1 adaptation to HLA-restricted immune responses at a population level. Science 2002; 296: 1439–1443.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank Mary Carrington, Margaret May and Fabio Macciardi for helpful discussion.

Author information

Authors and Affiliations

  1. Institute of Microbiology, University of Lausanne, Switzerland

    A Telenti

  2. Department of Medical Genetics, University Hospital of Lausanne, Switzerland

    J S Beckmann

  3. Centre for Clinical Immunology and Biomedical Statistics, Royal Perth Hospital and Murdoch University, Western Australia, Perth, Australia

    S Mallal

Authors
  1. A Telenti
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J S Beckmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S Mallal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A Telenti.

Additional information

DUALITY OF INTEREST

None declared

Rights and permissions

Reprints and permissions

About this article

Cite this article

Telenti, A., Beckmann, J. & Mallal, S. HLA and HIV: modeling adaptation to moving targets. Pharmacogenomics J 3, 254–256 (2003). https://doi.org/10.1038/sj.tpj.6500200

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.tpj.6500200

This article is cited by

Search

Advanced search

Quick links